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. Author manuscript; available in PMC: 2020 May 19.
Published in final edited form as: Psychol Med. 2018 Dec 11;49(15):2515–2523. doi: 10.1017/S0033291718003392

Figure 1:

Figure 1:

Path diagram of a bivariate correlated factors model

Note: In a univariate model, the variance in the phenotype is parsed into that which is due to additive genetic effects (A), shared environmental effects (C), and non-shared environmental effects (E). In the bivariate correlated factors model, the shared sources of variance between two phenotypes (X and Y) are decomposed into a genetic correlation (RA), a shared environment correlation (RC), and a non-shared environment correlation (RE).